Develop advanced expertise in health data science, artificial intelligence and independent research for healthcare innovation.
The MRes Data Science & AI for Health Innovation is designed for graduates who want to develop advanced methodological, analytical and research skills within one of the fastest-growing areas of healthcare, research and digital innovation.
Healthcare is increasingly driven by data science, artificial intelligence and digital innovation. From electronic health records and genomics to AI-assisted diagnostics and learning health systems, healthcare organisations now generate vast amounts of data with enormous potential to improve patient care, healthcare delivery and public health outcomes.
As the use of healthcare data and AI continues to expand, there is growing demand for researchers and professionals who can analyse, interpret and apply complex data responsibly, ethically and effectively.
The MRes Data Science & AI for Health Innovation combines advanced methodological training with a substantial independent research project, enabling students to develop both specialist technical expertise and strong research capability.
Students build expertise in statistics, programming, machine learning, prediction modelling and healthcare evaluation while gaining practical experience conducting independent research within a supportive and collaborative academic environment. Designed around flexibility, innovation and practical application, the programme also allows students to tailor their studies through optional modules aligned to their own research interests and career ambitions.
The programme has strong links with the Civic Health Innovation Labs (CHIL), an internationally recognised multidisciplinary research centre based at the University of Liverpool. CHIL brings together experts from academia, the NHS, local government, charities and industry to develop responsible approaches to data use and AI for health and society.
Students benefit from exposure to real-world healthcare challenges, research collaborations and emerging developments in responsible AI and healthcare innovation.
Graduates from the programme are well placed for PhD study and research-focused careers across healthcare, academia, digital health, pharmaceutical research, public health and healthcare innovation.
Develop advanced research expertise
The programme combines specialist training in statistics, programming, machine learning and AI with extensive independent research experience.
You will develop the methodological and analytical expertise needed to contribute to cutting-edge healthcare research and innovation while building strong foundations for future research or doctoral study.
Conduct a substantial independent research project
A major component of the programme is an extended supervised research project, allowing students to apply advanced analytical approaches to real-world healthcare questions.
You will work closely with experienced academic supervisors and research teams while developing valuable practical experience in designing, conducting and communicating research.
Tailor your learning to your interests
Optional modules allow students to explore specialist areas aligned to their own interests and future ambitions, including machine learning, causal inference, healthcare evaluation and statistical genetics.
This flexibility helps you to develop a distinctive methodological profile suited to a wide range of research and professional pathways.
Learn from experts working at the forefront of health innovation
You will study alongside approachable staff with expertise across statistics, health data science, artificial intelligence and healthcare research.
Teaching is enriched by collaborations with organisations including the NHS, industry and the Civic Health Innovation Labs (CHIL), helping students connect advanced methodological learning to real-world healthcare innovation.
This programme is designed for students who want to develop advanced expertise in health data science, artificial intelligence and healthcare research.
Applicants may come from backgrounds including:
The programme is ideal for applicants looking to:
Applicants with previous quantitative, analytical or research experience who wish to further develop expertise in statistics, machine learning, artificial intelligence and healthcare analytics are particularly encouraged to apply.
Specifically, this master’s programme is suitable for you if you hold a 2.2 degree from a UK university (or equivalent). Your first degree could be in any subject as this programme will train you in basic statistical and computing skills.
Our postgraduate Health Data Science portfolio also includes specialist pathways tailored to different backgrounds and career ambitions.
Applicants with previous quantitative training may be interested in the MSc Data Science & AI for Health Innovation, which provides a more advanced pathway for students wishing to further develop expertise in statistics, machine learning, artificial intelligence and healthcare analytics.
Applicants without previous quantitative training may be interested in the MSc Data Science & AI for Health Innovation (Conversion), which provides a supportive route into health data science and artificial intelligence for students from a wide range of backgrounds.
The curriculum combines advanced methodological training with extensive independent research experience.
Students develop expertise in:
Discover what you'll learn, what you'll study, and how you'll be taught and assessed.
| Compulsory modules | Credits |
|---|---|
| DATA SCIENCE AND AI FOR HEALTH INNOVATION RESEARCH PROJECT 1 (DASC510) | 30 |
Programme details and modules listed are illustrative only and subject to change.
Programme details and modules listed are illustrative only and subject to change.
| Compulsory modules | Credits |
|---|---|
| DATA SCIENCE AND AI FOR HEALTH INNOVATION RESEARCH PROJECT 2 (DASC511) | 90 |
Programme details and modules listed are illustrative only and subject to change.
Each 15-credit module involves around 150 hours of study.
You can expect to spend 2-3 hours a week per module in taught study and 3-5 hours a week per module in self-managed independent study. The programme has a blended format with a mix of face-to-face lectures, workshops and practical sessions.
Students are able to choose a research project which reflects their own interests and will integrate into an active research group within the department while being supported by one of our world class researchers. Experimentation, data collection and analysis will form the core of this work as we aim to develop the next generation of world leading researchers.
Full-time students will complete the programme in three semesters and part-time students will complete the programme in six semesters.
You’ll be assessed through a variety of written reports, software practical exercises and critical appraisals. You’ll also be asked to present your work in a variety of formats, from oral presentations to a conference poster. All modules have active learning embedded within them.
At Liverpool, we take a distinctive approach to education through the Liverpool Learning Framework. This means teaching that is engaging, inclusive and designed to help you succeed during your studies and beyond.
You’ll develop specialist subject knowledge alongside the skills employers value most, including:
Our curriculum is characterised by the three Liverpool Hallmarks:
We also embed key priorities across our curriculum, including AI literacy, employability, and sustainability, helping you prepare for the future and make a positive impact in the world.
We’re committed to creating a supportive and inclusive learning environment where every student can thrive.
Studying with us means you can tailor your degree to suit you. Here's what is available on this course.
You can study some of the modules on this course as standalone CPD (Continuing Professional Development) modules. Contact us using the buttons at the bottom of the course page to find out more.
If you enrol on a master’s degree and complete 60 credits you may be able to exit the programme early and earn a Postgraduate Certificate (PGCert) for the work you have completed. This usually amounts to one semester when completed full-time.
The Institute of Population Health draws on over 100 years of teaching delivered by dedicated staff with real-world, practical experience. We are a hub for an extensive network of professionals, academics and researchers, and you can be confident that a degree from us will prepare you for a lifelong career in healthcare services.
Each day will involve a series of interesting research-focused lectures and practical sessions, with time to digest content and prepare for later sessions and assessments. Students will also spend time in supervisory meetings and working independently on their research projects.
From arrival to alumni, we’re with you all the way:
For me, the biggest thing was being able to do proper research in an area I care about. Coming from outside the UK, I wasn’t fully sure what to expect, but the supervision and support have been really good. You get space to work independently, but also guidance when you need it, especially when things get quite challenging. It’s definitely helped me build confidence in doing research, not just following taught material.
Want to find out more about student life?
Chat with our student ambassadors and ask any questions you have.
Graduates from the MRes Data Science & AI for Health Innovation develop advanced research, statistical, computational and analytical expertise increasingly sought after across healthcare, academia, industry and digital innovation.
Healthcare is one of the fastest-growing sectors globally, with rapidly increasing demand for professionals who can apply data science, machine learning and artificial intelligence to improve healthcare services, patient outcomes and public health decision-making.
The substantial independent research component of the programme makes it particularly strong preparation for doctoral study, clinical academic pathways and research-focused careers.
Graduates may progress into careers including:
Graduates may work within universities, hospitals, government agencies, research organisations, pharmaceutical companies, healthcare technology companies and innovation-focused startups.
Alongside advanced technical development, the programme also builds highly valued transferable skills in communication, critical thinking, project management, problem-solving and interdisciplinary collaboration.
The demand for researchers and professionals with expertise in health data science and responsible AI continues to grow rapidly across healthcare, industry and academia.
At the University of Liverpool, you will develop the skills, experience and research confidence needed to contribute to the future of healthcare innovation within a supportive and research-active academic community.
Our campus Career Studio is a space for students and graduates to drop into and talk to a career coach. Career coaches are highly trained to help no matter what stage you are at in your career planning. You can access support to find and apply for full-time and part-time roles, placements, internships and graduate schemes. You will also find the help you need if you have a start-up idea or want to create a business plan. You can explore the world of work, prepare for job interviews, and access careers events and workshops. The Career Studio is open Monday to Friday from 10am-5pm, simply drop in at a time that works for you.
We develop our programmes with employers in mind. You will be supported to enhance your long-term employment prospects as you learn. We do this by exposing you to professionals, a variety of sectors and supporting you to work collaboratively with others to develop transferable skills. You are equipped with a clearer view of what to focus on in your area of interest, and to reflect on your studies. Our digital employability tools give you a tech-enhanced curriculum experience and make it easy for you to prepare for the world of work. You can use tools like the Handshake platform to connect with employers and message the Career Studio 24/7.
You can start building good professional networks by attending events and employability activities. Our events are designed to develop your skills and expose you to many different employers, as well as to help you make contacts in your field. We help you improve your confidence when speaking to employers and give you access to unique opportunities. Our networking events also boost your understanding of the competencies and skills that employers are looking for in their recruitment process, giving you a competitive edge.
Your tuition fees, funding your studies, and other costs to consider.
Full-time place, per year - £5,238
Part-time place, per year - £2,619
Full-time place, per year - £32,200
Part-time place, per year - £16,100
The fees shown are for the academic year 2026/27. The University may administer inflationary rises to international fees in subsequent academic years as you progress through the course.
Tuition fees cover the cost of your teaching and assessment, operating facilities such as libraries, IT equipment, and access to academic and personal support.
You can pay your tuition fees in instalments.
All or part of your tuition fees can be funded by external sponsorship.
International applicants who accept an offer of a place will need to pay a tuition fee deposit.
If you're a UK national, or have settled status in the UK, you may be eligible to apply for a Postgraduate Loan worth up to £12,858 to help with course fees and living costs. Learn more about paying for your studies.
We understand that budgeting for your time at university is important, and we want to make sure you understand any course-related costs that are not covered by your tuition fee. You can find information on the general and subject-specific costs you could expect to incur on our study costs webpage.
We offer a range of scholarships and bursaries that could help pay your tuition and living expenses.
Are you a UK or Republic of Ireland student who completed your undergraduate degree at the University of Liverpool? You could receive a £1,500 tuition fee discount, subject to the full eligibility criteria. This scholarship will be awarded to all eligible students.
If you've graduated with an undergraduate degree in Chemistry, and you've accepted a place on a master's course, you could be entitled to a £10,000 contribution towards your tuition fees. Please note your master's can be in a range of subject areas, and is not restricted to Chemistry. This award is available to one student per academic year who's considered to be from a widening participation background.
The scholarship will be open to two UK students in the 2026/27 academic year and is worth £5,000. Students must be studying a postgraduate course at the University of Liverpool. Those on data science or coding courses may be given priority.
If you’re a UK student, either born in or with strong family connections to Merseyside, you could be eligible to apply for a fee discount of up to £4,500. You’ll need to demonstrate an active interest in global, community and environmental issues to be considered.
Apply to receive tailored training support to enhance your sporting performance. Our athlete support package includes a range of benefits, from bespoke strength and conditioning training to physiotherapy sessions and one-to-one nutritional advice.
The qualifications and exam results you'll need to apply for this course.
| Qualification | Details |
|---|---|
| Postgraduate entry requirements | This Masters programme is suitable for you if you hold a 2.2 degree from a UK University (or equivalent). Your first degree could be in any subject as this programme will train you in basic statistical and computing skills. For overseas students an acceptable English Language qualification is required of IELTS 6.5 or equivalent, with no individual band less than 6.0. Students wanting to move into the field of data science but who would prefer more taught content, please see our MSc Data Science & AI for Health Innovation (Conversion). For students who have previous experience or quantitative training (for example a first degree in computer science or mathematics), please see our MSc Data Science & AI for Health Innovation. |
| International qualifications |
Many countries have a different education system to that of the UK, meaning your qualifications may not meet our entry requirements. Completing your Foundation Certificate, such as that offered by the University of Liverpool International College, means you're guaranteed a place on your chosen course. |
You'll need to demonstrate competence in the use of English language, unless you’re from a majority English speaking country.
We accept a variety of international language tests and country-specific qualifications.
International applicants who do not meet the minimum required standard of English language can complete one of our Pre-Sessional English courses to achieve the required level.
| Qualification | Details |
|---|---|
| IELTS | 6.5 overall, with no component below 6.0 |
Do you need to complete a Pre-sessional English course to meet the English language requirements for this course?
The length of Pre-sessional English course you’ll need to take depends on your current level of English language ability.
If you don’t meet our English language requirements, we can use your most recent IELTS score, or the equivalent score in selected other English language tests, to determine the length of Pre-sessional English course you require.
Use the table below to check the course length you're likely to require for your current English language ability and see whether the course is available on campus or online.
| Your most recent IELTS score | Pre-sessional English course length | On campus or online |
|---|---|---|
| 6.0 overall, with writing at 6.0 and no component below 5.5 | 6 weeks | On campus or online |
| 5.5 overall, with writing at 5.5 and no component below 5.0 | 10 weeks | On campus or online |
| 5.5 overall, with no more than one component at 5.0 | 12 weeks | Online |
| 5.5 overall, with no component below 5.0 | 20 weeks | On campus |
| 5.0 overall, with no more than one component at 4.5 | 30 weeks | On campus |
| 4.5 overall, with no more than one component at 4.0 | 40 weeks | On campus |
If you’ve completed an alternative English language test to IELTS, we may be able to use this to assess your English language ability and determine the Pre-sessional English course length you require.
Please see our guide to Pre-sessional English entry requirements for IELTS 6.5 overall, with no component below 6.0, for further details.
Discover more about the city and University.
Liverpool bursts with diversity and creativity which makes it ideal for you to undertake your postgraduate studies and access various opportunities for you and your family.
To fully immerse yourself in the university experience, living in halls will keep you close to campus where you can always meet new people. Find your home away from home.
Discover what expenses are covered by the cost of your tuition fees and other finance-related information you may need regarding your studies at Liverpool.
Have a question about this course or studying with us? Our dedicated enquiries team can help.
Last updated 27 May 2026 / / Programme terms and conditions